Case Study: Soul Movement
PainMapper: 3D Movement Assessment
High-Level Impact
Created a high-precision digital baseline for rehabilitation, transforming subjective pain descriptions into objective 3D heat maps and functional data.
Project Metadata
- CategoryAI / 3D HealthTech
- ClientSoul Movement
Core Components
Next.js 15 & React Framework
Three.js 3D Rendering Engine
Genkit & Google Gemini AI
Databricks (Longitudinal Storage)
ShadCN UI & Tailwind CSS
Business Objectives
Enhanced Triage: Speed up intake for physical therapists with visual heat maps.
Objective Tracking: Create digital baselines to measure progress over time.
User Empowerment: Provide users with visual tools to understand physical limitations.
Spatial Accuracy: Enable precise anatomical pinpointing via 3D interaction.
Functional Context: Log pain during specific movement tests (toe touches, squats).
Solution Design
"Developing an ongoing specialized movement assessment tool designed to help individuals pinpoint and describe physical pain using interactive 3D technology and AI analysis."
1. User follows guided movement videos. 2. User interacts with a Three.js 3D model to 'pin' pain points. 3. Detailed metadata (duration, category, intensity) is logged per pin. 4. Genkit processes disparate points into a clinical summary. 5. Historical data is synced to Databricks for longitudinal progress analysis.